Automatic regulating system for mixed fermentation of culture nutritional agent and control method of automatic regulating system

Abstract

The invention relates to the technical field of fermentation regulation, and discloses a mixed fermentation automatic regulation system of a culture nutrient and a control method thereof, the system comprises a sensor group, a thermal imaging device and a control module, the sensor group comprises a plurality of temperature sensors, a pH sensor, a pressure sensor and a plurality of viscosity sensors, the sensor group is arranged in the fermentation tank; the thermal imaging equipment is arranged at the top of the fermentation tank; and the control module is connected with the sensor group and the thermal imaging equipment and comprises an acquisition unit, a judgment unit, an adjustment unit and a storage unit. The automation degree of the fermentation process can be remarkably improved, manual intervention is reduced, and the production cost is reduced. Meanwhile, by monitoring key parameters in the fermentation process in real time, potential problems can be found and solved in time, and the stability and repeatability of the fermentation process are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of fermentation regulation, and in particular to an automatic regulating system for mixed fermentation of aquaculture nutrients and a control method thereof. Background Art

[0002] During the fermentation process, the mixing uniformity of the fermentation broth is crucial to the quality and yield of the nutrient. Traditional fermentation regulation methods mainly rely on manual experience, which is difficult to achieve precise control and inefficient. With the development of automation technology, the automatic regulation system of the fermentation process has gradually become a research hotspot.

[0003] The problem with the existing mixed fermentation of nutrients is that the temperature and viscosity changes in the fermentation tank are difficult to monitor and accurately control in real time, resulting in uneven mixing during the fermentation process, which in turn affects the quality and yield of the nutrients. Summary of the invention

[0004] In view of this, the present invention proposes an automatic adjustment system for mixed fermentation of nutrients for aquaculture and a control method thereof, aiming to solve the problem in the current technology that the temperature and viscosity changes in the fermentation tank are difficult to monitor and accurately control in real time, resulting in uneven mixing during the fermentation process, thereby affecting the quality and yield of the nutrients.

[0005] In one aspect, the present invention provides an automatic regulating system for mixed fermentation of aquaculture nutrients, comprising:

[0006] A sensor group, a thermal imaging device and a control module, wherein the sensor group includes a plurality of temperature sensors, a pH sensor, a pressure sensor and a plurality of viscosity sensors, and the sensor group is arranged in a fermentation tank; the thermal imaging device is arranged on the top of the fermentation tank; the control module is connected to the sensor group and the thermal imaging device, and the control module includes a collection unit, a judgment unit, an adjustment unit and a storage unit;

[0007] The collection unit is configured to collect fermentation type data, and determine whether stirring is required during the fermentation of the fermentation liquid according to the fermentation type data; the collection unit is also configured to determine an initial stirring rate when it is determined that the fermentation liquid needs to be stirred during the fermentation process;

[0008] The judging unit is configured to collect temperature data of all the temperature sensors after the same time period, compare all the temperature data with the temperature threshold respectively, and judge whether there is an uneven mixing area according to the comparison result; the judging unit is also configured to control the collecting unit to collect the temperature image data generated by the thermal imaging device when it is determined that there is an uneven mixing area, and judge whether it is necessary to adjust the initial stirring rate according to the temperature image data;

[0009] The adjustment unit is configured to, when it is determined that the initial stirring rate is to be adjusted, control the acquisition unit to acquire viscosity data from the viscosity sensor, determine a stirring control factor according to the temperature image data and the viscosity data, compare the stirring control factor with the historical data, and determine a final stirring rate according to the comparison result; when the stirring control factor is different from the historical data, the adjustment unit acquires pH data from the pH sensor and pressure data from the pressure sensor, and processes the pH data and the pressure data through a fuzzy algorithm to obtain the final stirring rate;

[0010] The storage unit is configured to store the stirring control factor and the final stirring rate.

[0011] Furthermore, the fermentation type data includes:

[0012] Aerobic fermentation, anaerobic fermentation, solid-state fermentation, liquid fermentation, lactic acid fermentation, alcoholic fermentation and mixed bacteria fermentation.

[0013] Further, when it is determined that the fermentation liquid needs to be stirred during the fermentation process and the initial stirring rate is determined, the initial stirring rate is obtained by the following formula:

[0014]

[0015] Wherein, N represents the initial stirring rate; k represents the empirical coefficient; p represents the stirring power; ρ represents the density of the fermentation liquid; and V represents the volume of the fermentation liquid in the fermenter.

[0016] Furthermore, all the temperature data are compared with the temperature threshold respectively, and judging whether there is an unevenly mixed area according to the comparison result includes:

[0017] Collecting the number of temperature data outside the temperature threshold range from all the temperature data, comparing the number with the number threshold, and judging whether there is an unevenly mixed area according to the comparison result;

[0018] When the number is less than the number threshold, it is determined that the non-uniform mixing area does not exist;

[0019] When the number is greater than or equal to the number threshold, it is determined that the unevenly mixed area exists.

[0020] Further, when it is determined that the uneven mixing area exists, collecting the temperature image data generated by the thermal imaging device, and judging whether the initial stirring rate needs to be adjusted according to the temperature image data, it includes:

[0021] According to the volume proportion of the unevenly mixed area in the temperature image data, the volume proportion is compared with a volume proportion threshold value, and according to the comparison result, it is determined whether the initial stirring rate needs to be adjusted;

[0022] When the volume proportion is less than the volume proportion threshold, it is determined that there is no need to adjust the initial stirring rate;

[0023] When the volume proportion is greater than or equal to the volume proportion threshold, it is determined that the initial stirring rate needs to be adjusted.

[0024] Furthermore, when determining the stirring control factor according to the temperature image data and the viscosity data, it includes:

[0025] Calculate the average temperature Tx inside the fermentation tank according to the temperature image data;

[0026] Extract the maximum temperature Tmax and the minimum temperature Tmin in the temperature image data;

[0027] Obtaining a temperature difference ΔT inside the fermentation tank according to the maximum temperature Tmax and the minimum temperature Tmin, wherein ΔT=Tmax-Tmin;

[0028] The viscosity data of the viscosity sensor in the current time period is collected and the first viscosity average value ηc is obtained. The viscosity data of the viscosity sensor in the previous time period is collected and the second viscosity average value ηp is obtained. The viscosity change rate Δη is calculated. The viscosity change rate Δη is obtained by the following formula:

[0029]

[0030] Wherein, Δη represents the viscosity change rate, ηc represents the first viscosity average value, ηp represents the second viscosity average value, and t represents the duration of the time period;

[0031] The stirring control factor Imix is ​​calculated according to the temperature difference ΔT and the viscosity change rate Δη inside the fermentation tank. The stirring control factor Imix is ​​obtained by the following formula:

[0032]

[0033] Wherein, Imix represents the stirring control factor, ω1 and ω2 are weight coefficients, represents the normalization of the temperature difference inside the fermentation tank, Tx represents the average temperature inside the fermentation tank, H(T) represents the temperature history feedback function, represents the normalized viscosity change rate, and H(η) represents the viscosity history feedback function.

[0034] Furthermore, the temperature history feedback function H(T) is obtained by the following formula:

[0035]

[0036] Wherein, H(T) represents the temperature history feedback function, αi represents the historical weight coefficient of temperature data, and T(ti) represents the temperature data of the i-th time period;

[0037] The viscosity history feedback function H(η) is obtained by the following formula:

[0038]

[0039] Wherein, H(η) represents the viscosity history feedback function, βi represents the historical weight coefficient of viscosity data, and η(ti) represents the viscosity data of the i-th time period.

[0040] Furthermore, the stirring control factor is compared with historical data, and the final stirring rate is determined according to the comparison result, including:

[0041] When the historical data contains data identical to the stirring control factor, the adjustment unit performs stirring at the final stirring rate recorded in the historical data;

[0042] When there is no data identical to the stirring control factor in the historical data, the adjustment unit transmits the stirring control factor to the storage unit for storage, collects the pH data of the pH sensor and the pressure data of the pressure sensor, and processes the pH data and the pressure data through a fuzzy algorithm to obtain the final stirring rate.

[0043] Furthermore, the pH data and the pressure data are processed by a fuzzy algorithm to obtain the final stirring rate, including:

[0044] defining fuzzy variables, wherein the fuzzy variables include the pH data, the pressure data, and a final stirring rate, wherein the pH data and the pressure data are used as input variables, and the final stirring rate is used as an output variable;

[0045] Performing fuzzy processing on the input variables and output variables, and converting the pH data and pressure data into fuzzy sets;

[0046] Establishing a fuzzy rule base, and establishing the relationship rules between the pH data, the pressure data and the final stirring rate based on empirical knowledge and experimental data;

[0047] Using a fuzzy reasoning mechanism, fuzzy reasoning is performed according to the fuzzy set of the input variables and the fuzzy rule base to obtain the fuzzy set of the final stirring rate;

[0048] The fuzzy set of the final stirring rate is defuzzified and then converted into an exact value, and the exact value is used as the final stirring rate.

[0049] Compared with the prior art, the beneficial effect of the present invention is that the mixed fermentation automatic regulating system of the nutrient for aquaculture provided by the present invention can effectively monitor and adjust the stirring rate during the fermentation process, and ensure the mixing uniformity and fermentation effect of the fermentation liquid. By collecting the fermentation type data, it is possible to preliminarily judge whether stirring is required during the fermentation process, thereby avoiding unnecessary energy waste. When there is an area of ​​uneven mixing, the temperature image data generated by the thermal imaging device can intuitively determine the area where the stirring rate needs to be adjusted, so as to make targeted adjustments. The viscosity data of the viscosity sensor further provides detailed information on the state of the fermentation liquid, and combined with the temperature image data, the stirring control factor can be more accurately determined. By comparing these control factors with historical data, a suitable stirring rate can be quickly found to cope with the current fermentation state. When encountering an unprecedented fermentation state, the pH data and pressure data can be processed by a fuzzy algorithm, and multiple factors can be comprehensively considered to obtain a more accurate final stirring rate. The stirring control factor and the final stirring rate are stored to provide a reference for encountering similar fermentation states in the future, which helps to further optimize the control strategy of the fermentation process. By continuously accumulating historical data and adjusting the weight coefficients ω1 and ω2 of the fuzzy algorithm, the control accuracy of the fermentation process can be continuously improved, thereby improving the quality and yield of the fermented product.

[0050] The mixed fermentation automatic regulating system of the aquaculture nutrient provided by the present invention can significantly improve the automation degree of the fermentation process, reduce manual intervention, and reduce production costs. At the same time, by real-time monitoring of key parameters in the fermentation process, potential problems can be discovered and solved in a timely manner to ensure the stability and repeatability of the fermentation process. Ultimately, this will help improve the quality and production efficiency of aquaculture nutrient agents and provide aquaculture with better quality nutrient products.

[0051] In another aspect, the present invention also provides a method for automatically adjusting and controlling the mixed fermentation of aquaculture nutrients, comprising the following steps:

[0052] S100: collecting fermentation type data, and judging whether stirring is required during the fermentation of the fermentation liquid according to the fermentation type data; the collecting unit is further configured to determine an initial stirring rate when it is judged that the fermentation liquid needs to be stirred during the fermentation process;

[0053] S200: After every same time period, the temperature data of all the temperature sensors are collected, all the temperature data are compared with the temperature threshold respectively, and whether there is an uneven mixing area is determined according to the comparison result; when it is determined that the uneven mixing area exists, the temperature image data generated by the thermal imaging device is collected, and whether the initial stirring rate needs to be adjusted according to the temperature image data;

[0054] S300: when it is determined that the initial stirring rate is to be adjusted, the viscosity data of the viscosity sensor is collected, the stirring control factor is determined according to the temperature image data and the viscosity data, the stirring control factor is compared with the historical data, and the final stirring rate is determined according to the comparison result; when the stirring control factor is different from the historical data, the adjustment unit collects the pH data of the pH sensor and the pressure data of the pressure sensor, and processes the pH data and the pressure data through a fuzzy algorithm to obtain the final stirring rate;

[0055] S400: storing the stirring control factor and the final stirring rate.

[0056] It is understandable that the above-mentioned mixed fermentation automatic regulating system of the aquaculture nutrient agent and the control method thereof have the same beneficial effects, which will not be described in detail here. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0058] Figure 1 A structural block diagram of an automatic regulating system for mixed fermentation of aquaculture nutrients provided by an embodiment of the present invention;

[0059] Figure 2 The present invention provides a flowchart of an automatic regulation and control method for mixed fermentation of aquaculture nutrients according to an embodiment of the present invention. DETAILED DESCRIPTION

[0060] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art. It should be noted that, in the absence of conflict, the embodiments of the present invention and the features described in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0061] See also Figure 1 As shown, in some embodiments of the present application, this embodiment provides an automatic adjustment system for mixed fermentation of aquaculture nutrients, comprising:

[0062] A sensor group, a thermal imaging device and a control module, wherein the sensor group includes a plurality of temperature sensors, a pH sensor, a pressure sensor and a plurality of viscosity sensors, and the sensor group is arranged in a fermentation tank; the thermal imaging device is arranged on the top of the fermentation tank; the control module is connected to the sensor group and the thermal imaging device, and the control module includes a collection unit, a judgment unit, an adjustment unit and a storage unit;

[0063] The acquisition unit is configured to collect fermentation type data, and determine whether stirring is required during the fermentation of the fermentation liquid according to the fermentation type data; when it is determined that the fermentation liquid needs to be stirred during the fermentation process, an initial stirring rate is determined, and the acquisition unit is further configured to collect temperature data of all the temperature sensors after the same time period, compare all the temperature data with the temperature threshold respectively, and determine whether there is an uneven mixing area according to the comparison result;

[0064] The judging unit is configured to collect temperature image data generated by the thermal imaging device when it is determined that the uneven mixing area exists, and judge whether the initial stirring rate needs to be adjusted according to the temperature image data;

[0065] The adjustment unit is configured to, when it is determined that the initial stirring rate is to be adjusted, collect viscosity data from the viscosity sensor, determine a stirring control factor according to the temperature image data and the viscosity data, compare the stirring control factor with the historical data, and determine a final stirring rate according to the comparison result; when the stirring control factor is different from the historical data, the adjustment unit collects pH data from the pH sensor and pressure data from the pressure sensor, and processes the pH data and the pressure data through a fuzzy algorithm to obtain the final stirring rate;

[0066] The storage unit is configured to store the stirring control factor and the final stirring rate.

[0067] It can be seen that in some embodiments of the present invention, the sensor group is used to monitor the environmental parameters in the fermentation tank in real time to ensure the stability and efficiency of the fermentation process. Through the coordinated work of the temperature sensor, pH sensor, pressure sensor and viscosity sensor, the state of the fermentation liquid can be fully understood, thereby achieving precise stirring rate control; the thermal imaging equipment is used to provide intuitive image data support for adjusting the stirring rate; the control module realizes intelligent control of the fermentation process through the coordinated work of the acquisition unit, judgment unit, adjustment unit and storage unit.

[0068] In some embodiments of the present invention, the collection unit is used to collect fermentation type data, and determine whether stirring is required during the fermentation process based on the fermentation type data; when the fermentation liquid needs to be stirred during the fermentation process, the collection unit will determine the initial stirring rate and collect temperature data from the temperature sensor after the same time period during the fermentation process. By comparing with the temperature threshold, it can be determined whether there is an area of ​​uneven mixing, thereby ensuring the uniformity of the fermentation liquid.

[0069] In some embodiments of the present invention, when the judgment unit determines that there is an area of ​​uneven mixing, it will collect temperature image data generated by the thermal imaging device; by analyzing the temperature image data, it can be determined whether the initial stirring rate needs to be adjusted. The temperature image data provides intuitive image support for adjusting the stirring rate, which helps to more accurately judge the mixing state of the fermentation liquid.

[0070] In some embodiments of the present invention, when the adjustment unit determines that the initial stirring rate needs to be adjusted, it will collect viscosity data from the viscosity sensor, and determine the stirring control factor based on the temperature image data and the viscosity data. The stirring control factor will be compared with the historical data to determine the final stirring rate; when the stirring control factor is different from the historical data, the adjustment unit will collect pH data from the pH sensor and pressure data from the pressure sensor, and process them through a fuzzy algorithm to obtain the final stirring rate; the fuzzy algorithm can handle uncertainty and ambiguity, thereby improving the accuracy of stirring rate control.

[0071] In some embodiments of the present invention, the storage unit is used to store the stirring control factor and the final stirring rate to facilitate subsequent analysis and optimization of the fermentation process. By storing the stirring control factor and the final stirring rate, historical data support can be provided for the fermentation process, which helps to further optimize the fermentation process.

[0072] It is understood that in some embodiments of the present invention, by real-time monitoring of environmental parameters in the fermentation tank, the stability and efficiency of the fermentation process can be ensured. The coordinated work of the sensor group, thermal imaging equipment and control module realizes intelligent control of the fermentation process, thereby improving the mixed fermentation quality of the aquaculture nutrient. By accurately controlling the stirring rate, the mixing uniformity of the fermentation liquid can be effectively improved, thereby improving the quality of the nutrient and the aquaculture effect.

[0073] Specifically, the fermentation type data includes:

[0074] Aerobic fermentation, anaerobic fermentation, solid-state fermentation, liquid fermentation, lactic acid fermentation, alcoholic fermentation and mixed bacteria fermentation.

[0075] It can be seen that in some embodiments of the present invention, the collection and analysis of fermentation type data is crucial for the optimization of the entire fermentation process. Different fermentation types have different requirements for environmental parameters. For example, the fermentation type data that need to be stirred during the fermentation process include aerobic fermentation, lactic acid fermentation and alcoholic fermentation. Aerobic fermentation requires sufficient oxygen supply, so the control of the stirring rate is crucial to ensure that the oxygen is evenly distributed. Lactic acid fermentation and alcoholic fermentation need to control the temperature and pH value in the fermentation tank to maintain a suitable fermentation environment. Through the real-time monitoring of the fermentation type data by the acquisition unit, the stirring rate can be adjusted in time to ensure the smooth progress of the fermentation process.

[0076] Specifically, when it is determined that the fermentation liquid needs to be stirred during the fermentation process and the initial stirring rate is determined, the initial stirring rate is obtained by the following formula:

[0077]

[0078] Wherein, N represents the initial stirring rate; k represents the empirical coefficient; p represents the stirring power; ρ represents the density of the fermentation liquid; and V represents the volume of the fermentation liquid in the fermenter.

[0079] It can be seen that in some embodiments of the present invention, the introduction of the empirical coefficient k is to take into account the influence of different fermentation types and fermentation tank designs on the stirring rate. The stirring power p reflects the performance of the stirring equipment, while the density ρ of the fermented liquid and the volume V of the fermented liquid in the fermentation tank are directly related to the energy and efficiency required in the stirring process. In practical applications, the selection of the empirical coefficient k is usually based on historical data and experimental results. By constantly adjusting and optimizing the k value, it can be ensured that the initial stirring rate meets the needs of the fermentation process without causing unnecessary energy waste. In addition, the measurement of the density ρ of the fermented liquid and the volume V of the fermented liquid in the fermentation tank needs to be accurate to ensure that the calculation result of the initial stirring rate is accurate.

[0080] In some embodiments of the present invention, the determination of the initial stirring rate also takes into account the geometric shape of the fermenter and the type of agitator. Different agitator designs have a significant impact on the mixing effect of the fermentation broth, so when determining the initial stirring rate, it is necessary to comprehensively consider the characteristics of the agitator to ensure that the fermentation broth can be fully mixed in the fermenter.

[0081] Specifically, all the temperature data are compared with the temperature threshold respectively, and judging whether there is an unevenly mixed area according to the comparison result includes:

[0082] Collecting the number of temperature data outside the temperature threshold range from all the temperature data, comparing the number with the number threshold, and judging whether there is an unevenly mixed area according to the comparison result;

[0083] When the number is less than the number threshold, it is determined that the non-uniform mixing area does not exist;

[0084] When the number is greater than or equal to the number threshold, it is determined that the unevenly mixed area exists.

[0085] It can be seen that in some embodiments of the present invention, by setting a temperature threshold, abnormal temperature areas in the fermentation liquid can be effectively identified, and these areas may indicate that the fermentation liquid is unevenly mixed. The introduction of the quantity threshold is to provide a quantitative judgment standard to avoid misjudging the existence of unevenly mixed areas due to abnormal fluctuations in individual temperature data. In practical applications, the setting of the temperature threshold and the quantity threshold needs to be adjusted according to the specific requirements and historical data of the fermentation process. For example, for aerobic fermentation, the uniformity of the temperature distribution of the fermentation liquid is crucial for the absorption and metabolic process of oxygen. If the number of temperature data exceeding the temperature threshold is large, it indicates that there may be areas in the fermentation liquid where the local temperature is too high or too low, which may affect the fermentation efficiency and product quality. At this time, the control module will adjust the stirring rate to improve the mixing state according to the temperature image data and the viscosity data.

[0086] Specifically, when it is determined that the uneven mixing area exists, collecting the temperature image data generated by the thermal imaging device, and judging whether the initial stirring rate needs to be adjusted according to the temperature image data, including:

[0087] According to the volume proportion of the unevenly mixed area in the temperature image data, the volume proportion is compared with a volume proportion threshold value, and according to the comparison result, it is determined whether the initial stirring rate needs to be adjusted;

[0088] When the volume proportion is less than the volume proportion threshold, it is determined that there is no need to adjust the initial stirring rate;

[0089] When the volume proportion is greater than or equal to the volume proportion threshold, it is determined that the initial stirring rate needs to be adjusted.

[0090] It can be seen that in some embodiments of the present invention, the temperature distribution in the fermentation liquid can be visually observed through the temperature image data generated by the thermal imaging device. When there is an area of ​​uneven mixing, the temperature image data can provide detailed temperature distribution information, thereby helping to determine the stirring rate that needs to be adjusted.

[0091] Specifically, when there is an unevenly mixed area, the volume proportion of the area is first calculated based on the temperature image data. The volume proportion refers to the volume ratio of the unevenly mixed area in the fermenter. By comparing with the volume proportion threshold, it can be determined whether the initial stirring rate needs to be adjusted. The setting of the volume proportion threshold is based on the requirements of the fermentation process for temperature uniformity, as well as a comprehensive analysis of historical data and experimental results. When the volume proportion is less than the volume proportion threshold, it indicates that the unevenly mixed area has little effect on the overall fermentation process, so there is no need to adjust the initial stirring rate. However, when the volume proportion is greater than or equal to the volume proportion threshold, it indicates that the unevenly mixed area has a greater impact on the fermentation process, and the initial stirring rate needs to be adjusted to improve the mixing state.

[0092] Specifically, when determining the stirring control factor according to the temperature image data and the viscosity data, it includes:

[0093] Calculate the average temperature Tx inside the fermentation tank according to the temperature image data;

[0094] Extract the maximum temperature Tmax and the minimum temperature Tmin in the temperature image data;

[0095] Obtaining a temperature difference ΔT inside the fermentation tank according to the maximum temperature Tmax and the minimum temperature Tmin, wherein ΔT=Tmax-Tmin;

[0096] The viscosity data of the viscosity sensor in the current time period is collected and the first viscosity average value ηc is obtained. The viscosity data of the viscosity sensor in the previous time period is collected and the second viscosity average value ηp is obtained. The viscosity change rate Δη is calculated. The viscosity change rate Δη is obtained by the following formula:

[0097]

[0098] Wherein, Δη represents the viscosity change rate, ηc represents the first viscosity average value, ηp represents the second viscosity average value, and t represents the duration of the time period;

[0099] The stirring control factor Imix is ​​calculated according to the temperature difference ΔT and the viscosity change rate Δη inside the fermentation tank. The stirring control factor Imix is ​​obtained by the following formula:

[0100]

[0101] Wherein, Imix represents the stirring control factor, ω1 and ω2 are weight coefficients, represents the normalization of the temperature difference inside the fermentation tank, Tx represents the average temperature inside the fermentation tank, H(T) represents the temperature history feedback function, represents the normalized viscosity change rate, and H(η) represents the viscosity history feedback function.

[0102] Specifically, the temperature history feedback function H(T) is obtained by the following formula:

[0103]

[0104] Wherein, H(T) represents the temperature history feedback function, αi represents the historical weight coefficient of temperature data, and T(ti) represents the temperature data of the i-th time period;

[0105] The viscosity history feedback function H(η) is obtained by the following formula:

[0106]

[0107] Wherein, H(η) represents the viscosity history feedback function, βi represents the historical weight coefficient of viscosity data, and η(ti) represents the viscosity data of the i-th time period.

[0108] It can be seen that in some embodiments of the present invention, by comprehensively considering the temperature difference and the viscosity change rate, the stirring control factor Imix can be calculated more accurately. This factor can reflect the temperature and viscosity state inside the fermentation tank, thereby providing a scientific basis for adjusting the stirring rate. In practical applications, the setting of weight coefficients ω1 and ω2 needs to be optimized according to the specific requirements of the fermentation process. For example, in some fermentation processes, the uniformity of temperature may be more important than the viscosity change rate. At this time, the value of ω1 can be appropriately increased to ensure that the temperature difference has a greater weight in the stirring control factor. On the contrary, if the viscosity change has a greater impact on the fermentation process, the value of ω2 can be increased.

[0109] It can be seen that in some embodiments of the present invention, the introduction of the temperature history feedback function H(T) and the viscosity history feedback function H(η) is to consider the influence of historical data on the current stirring control factor. By assigning different weight coefficients αi and βi to the temperature and viscosity data of different time periods, the dynamic changes of the fermentation process can be better reflected. For example, the temperature and viscosity data of the most recent time period may have a greater impact on the current fermentation state, so a higher weight coefficient can be assigned. After determining the stirring control factor Imi x, the control module will adjust the stirring rate according to the value of the factor.

[0110] Specifically, the stirring control factor is compared with the historical data, and the final stirring rate is determined according to the comparison result, including:

[0111] When the historical data contains data identical to the stirring control factor, the adjustment unit performs stirring at the final stirring rate recorded in the historical data;

[0112] When there is no data identical to the stirring control factor in the historical data, the adjustment unit transmits the stirring control factor to the storage unit for storage, collects the pH data of the pH sensor and the pressure data of the pressure sensor, and processes the pH data and the pressure data through a fuzzy algorithm to obtain the final stirring rate.

[0113] It can be seen that in some embodiments of the present invention, by comparing historical data, repeated calculations and adjustments can be effectively avoided, and the efficiency of the fermentation process can be improved. When the stirring control factor matches a certain data in the historical data, it indicates that a similar fermentation state has been encountered before, and the corresponding stirring rate has been determined. At this time, directly using the final stirring rate recorded in the historical data for stirring can save time and reduce unnecessary computing resource consumption. However, when the stirring control factor does not match any data in the historical data, it indicates that the current fermentation state is unprecedented and a new stirring rate adjustment is required. At this time, the adjustment unit transmits the stirring control factor to the storage unit for storage for future reference. At the same time, in order to determine the final stirring rate, the pH data of the pH sensor and the pressure data of the pressure sensor are collected. These data reflect the chemical and physical state in the fermentation process and are essential for determining the stirring rate. By processing the pH data and pressure data through the fuzzy algorithm, the influence of multiple factors on the fermentation process can be comprehensively considered, thereby obtaining a more accurate final stirring rate. The fuzzy algorithm can handle uncertainty and ambiguity, and is suitable for complex and variable fermentation processes.

[0114] Specifically, the pH data and the pressure data are processed by a fuzzy algorithm to obtain the final stirring rate, including:

[0115] defining fuzzy variables, wherein the fuzzy variables include the pH data, the pressure data, and a final stirring rate, wherein the pH data and the pressure data are used as input variables, and the final stirring rate is used as an output variable;

[0116] Performing fuzzy processing on the input variables and output variables, and converting the pH data and pressure data into fuzzy sets;

[0117] Establishing a fuzzy rule base, and establishing the relationship rules between the pH data, the pressure data and the final stirring rate based on empirical knowledge and experimental data;

[0118] Using a fuzzy reasoning mechanism, fuzzy reasoning is performed according to the fuzzy set of the input variables and the fuzzy rule base to obtain the fuzzy set of the final stirring rate;

[0119] The fuzzy set of the final stirring rate is defuzzified and then converted into an exact value, and the exact value is used as the final stirring rate.

[0120] It can be seen that in some embodiments of the present invention, the uncertainty and ambiguity existing in the fermentation process can be effectively handled by introducing the fuzzy algorithm. Defining fuzzy variables is the first step of the fuzzy algorithm, which converts pH data, pressure data and final stirring rate into fuzzy sets for fuzzy processing. Through fuzzification, specific numerical data can be converted into fuzzy sets, so as to better simulate human thinking and decision-making processes. Establishing a fuzzy rule base is a key step in the fuzzy algorithm. According to empirical knowledge and experimental data, the relationship rules between pH data, pressure data and final stirring rate are established to ensure the accuracy and reliability of the fuzzy algorithm. The establishment of the fuzzy rule base requires repeated experiments and verifications to ensure that the rules can accurately reflect various situations in the fermentation process. The use of a fuzzy reasoning mechanism is the core part of the fuzzy algorithm. According to the fuzzy set of input variables and the fuzzy rule base, fuzzy reasoning is performed to obtain a fuzzy set of the final stirring rate. The fuzzy reasoning mechanism can comprehensively consider the influence of multiple input variables on the final stirring rate, thereby obtaining a comprehensive fuzzy result. Defuzzification of the fuzzy set of the final stirring rate is the last step of the fuzzy algorithm. Converting the fuzzy set to an exact value can provide a clear numerical basis for the actual stirring rate adjustment. There are many methods for defuzzification, such as the maximum membership method, the center of gravity method, etc. Choosing a suitable method can improve the accuracy of the final stirring rate. In practical applications, the final stirring rate obtained by the fuzzy algorithm will be transmitted to the control module of the stirring device. The control module adjusts the operating state of the stirring device according to the rate to ensure the stability and efficiency of the fermentation process. By continuously optimizing the fuzzy algorithm and adjusting the weight coefficients ω1 and ω2, the control accuracy of the fermentation process can be further improved, thereby improving the quality and yield of the fermented product.

[0121] See also Figure 2 As shown, in some embodiments of the present application, this embodiment provides a method for automatically adjusting and controlling mixed fermentation of aquaculture nutrients, comprising the following steps:

[0122] S100: collecting fermentation type data, and judging whether stirring is required during the fermentation of the fermentation liquid according to the fermentation type data; the collecting unit is further configured to determine an initial stirring rate when it is judged that the fermentation liquid needs to be stirred during the fermentation process;

[0123] S200: After every same time period, the temperature data of all the temperature sensors are collected, all the temperature data are compared with the temperature threshold respectively, and whether there is an uneven mixing area is determined according to the comparison result; when it is determined that the uneven mixing area exists, the temperature image data generated by the thermal imaging device is collected, and whether the initial stirring rate needs to be adjusted according to the temperature image data;

[0124] S300: when it is determined that the initial stirring rate is to be adjusted, the viscosity data of the viscosity sensor is collected, the stirring control factor is determined according to the temperature image data and the viscosity data, the stirring control factor is compared with the historical data, and the final stirring rate is determined according to the comparison result; when the stirring control factor is different from the historical data, the adjustment unit collects the pH data of the pH sensor and the pressure data of the pressure sensor, and processes the pH data and the pressure data through a fuzzy algorithm to obtain the final stirring rate;

[0125] S400: storing the stirring control factor and the final stirring rate.

[0126] It can be seen that in some embodiments of the present invention, the mixed fermentation automatic regulation control method of the nutrient agent for breeding can effectively monitor and adjust the stirring rate during the fermentation process to ensure the mixing uniformity and fermentation effect of the fermentation liquid. By collecting the fermentation type data, it can be preliminarily determined whether stirring is required during the fermentation process, thereby avoiding unnecessary energy waste. When there is an area of ​​uneven mixing, the temperature image data generated by the thermal imaging device can intuitively determine the area where the stirring rate needs to be adjusted, so as to make targeted adjustments. The viscosity data of the viscosity sensor further provides detailed information on the state of the fermentation liquid, and combined with the temperature image data, the stirring control factor can be more accurately determined. By comparing these control factors with historical data, a suitable stirring rate can be quickly found to cope with the current fermentation state. When encountering an unprecedented fermentation state, multiple factors can be comprehensively considered by processing pH data and pressure data through a fuzzy algorithm to obtain a more accurate final stirring rate. The stirring control factor and the final stirring rate are stored to provide a reference for encountering similar fermentation states in the future, which helps to further optimize the control strategy of the fermentation process. By continuously accumulating historical data and adjusting the weight coefficients ω1 and ω2 of the fuzzy algorithm, the control accuracy of the fermentation process can be continuously improved, thereby improving the quality and yield of the fermented product.

[0127] It is understandable that the mixed fermentation automatic regulation control method of the aquaculture nutrient agent of the present invention can significantly improve the automation of the fermentation process, reduce manual intervention, and reduce production costs. At the same time, by real-time monitoring of key parameters in the fermentation process, potential problems can be discovered and solved in a timely manner to ensure the stability and repeatability of the fermentation process. Ultimately, this will help improve the quality and production efficiency of aquaculture nutrient agents and provide aquaculture with better quality nutrient agent products.

[0128] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0129] The present application is described with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0130] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0131] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0132] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. An automatic regulating system for mixed fermentation of nutrients for aquaculture, characterized in that: include: A sensor group, a thermal imaging device and a control module, wherein the sensor group includes a plurality of temperature sensors, a pH sensor, a pressure sensor and a plurality of viscosity sensors, and the sensor group is arranged in a fermentation tank; the thermal imaging device is arranged on the top of the fermentation tank; the control module is connected to the sensor group and the thermal imaging device, and the control module includes a collection unit, a judgment unit, an adjustment unit and a storage unit; The collection unit is configured to collect fermentation type data, and determine whether stirring is required during the fermentation of the fermentation liquid according to the fermentation type data; the collection unit is also configured to determine an initial stirring rate when it is determined that the fermentation liquid needs to be stirred during the fermentation process; The judging unit is configured to collect temperature data of all the temperature sensors after the same time period, compare all the temperature data with the temperature threshold respectively, and judge whether there is an uneven mixing area according to the comparison result; the judging unit is also configured to control the collecting unit to collect the temperature image data generated by the thermal imaging device when it is determined that there is an uneven mixing area, and judge whether it is necessary to adjust the initial stirring rate according to the temperature image data; The adjustment unit is configured to, when it is determined that the initial stirring rate is to be adjusted, control the acquisition unit to acquire viscosity data from the viscosity sensor, determine a stirring control factor according to the temperature image data and the viscosity data, compare the stirring control factor with the historical data, and determine a final stirring rate according to the comparison result; when the stirring control factor is different from the historical data, the adjustment unit acquires pH data from the pH sensor and pressure data from the pressure sensor, and processes the pH data and the pressure data through a fuzzy algorithm to obtain the final stirring rate; The storage unit is configured to store the stirring control factor and the final stirring rate.

2. The automatic regulating system for mixed fermentation of aquaculture nutrients according to claim 1, characterized in that: The fermentation type data include: Aerobic fermentation, anaerobic fermentation, solid-state fermentation, liquid fermentation, lactic acid fermentation, alcoholic fermentation and mixed bacteria fermentation.

3. The automatic regulating system for mixed fermentation of aquaculture nutrients according to claim 2, characterized in that: When it is determined that the fermentation liquid needs to be stirred during the fermentation process and the initial stirring rate is determined, the initial stirring rate is obtained by the following formula: Wherein, N represents the initial stirring rate; k represents the empirical coefficient; p represents the stirring power; ρ represents the density of the fermentation liquid; and V represents the volume of the fermentation liquid in the fermenter.

4. The automatic regulating system for mixed fermentation of aquaculture nutrients according to claim 3, characterized in that: Comparing all the temperature data with the temperature threshold respectively, and judging whether there is an unevenly mixed area according to the comparison result, includes: Collecting the number of temperature data outside the temperature threshold range from all the temperature data, comparing the number with the number threshold, and judging whether there is an uneven mixing area according to the comparison result; When the number is less than the number threshold, it is determined that the non-uniform mixing area does not exist; When the number is greater than or equal to the number threshold, it is determined that the unevenly mixed area exists.

5. The automatic regulating system for mixed fermentation of aquaculture nutrients according to claim 4, characterized in that: When it is determined that the uneven mixing area exists, collecting the temperature image data generated by the thermal imaging device, and determining whether the initial stirring rate needs to be adjusted according to the temperature image data, including: According to the volume proportion of the unevenly mixed area in the temperature image data, the volume proportion is compared with a volume proportion threshold value, and according to the comparison result, it is determined whether the initial stirring rate needs to be adjusted; When the volume proportion is less than the volume proportion threshold, it is determined that there is no need to adjust the initial stirring rate; When the volume proportion is greater than or equal to the volume proportion threshold, it is determined that the initial stirring rate needs to be adjusted.

6. The automatic regulating system for mixed fermentation of aquaculture nutrients according to claim 5, characterized in that: When the stirring control factor is determined according to the temperature image data and the viscosity data, it includes: Calculate the average temperature Tx inside the fermentation tank according to the temperature image data; Extract the maximum temperature Tmax and the minimum temperature Tmin in the temperature image data; Obtaining a temperature difference ΔT inside the fermentation tank according to the maximum temperature Tmax and the minimum temperature Tmin, wherein ΔT=Tmax-Tmin; The viscosity data of the viscosity sensor in the current time period is collected and the first viscosity average value ηc is obtained. The viscosity data of the viscosity sensor in the previous time period is collected and the second viscosity average value ηp is obtained. The viscosity change rate Δη is calculated. The viscosity change rate Δη is obtained by the following formula: Wherein, Δη represents the viscosity change rate, ηc represents the first viscosity average value, ηp represents the second viscosity average value, and t represents the duration of the time period; The stirring control factor Imix is ​​calculated according to the temperature difference ΔT and the viscosity change rate Δη inside the fermentation tank. The stirring control factor Imix is ​​obtained by the following formula: Wherein, Imix represents the stirring control factor, ω1 and ω2 are weight coefficients, represents the normalization of the temperature difference inside the fermentation tank, Tx represents the average temperature inside the fermentation tank, H(T) represents the temperature history feedback function, represents the normalized viscosity change rate, and H(η) represents the viscosity history feedback function.

7. The automatic regulating system for mixed fermentation of aquaculture nutrients according to claim 6, characterized in that: The temperature history feedback function H(T) is obtained by the following formula: Wherein, H(T) represents the temperature history feedback function, αi represents the historical weight coefficient of temperature data, and T(ti) represents the temperature data of the i-th time period; The viscosity history feedback function H(η) is obtained by the following formula: Wherein, H(η) represents the viscosity history feedback function, βi represents the historical weight coefficient of viscosity data, and η(ti) represents the viscosity data of the i-th time period.

8. The automatic regulating system for mixed fermentation of aquaculture nutrients according to claim 6, characterized in that: The stirring control factor is compared with the historical data, and the final stirring rate is determined according to the comparison result, including: When the historical data contains data identical to the stirring control factor, the adjustment unit performs stirring at the final stirring rate recorded in the historical data; When there is no data identical to the stirring control factor in the historical data, the adjustment unit transmits the stirring control factor to the storage unit for storage, collects the pH data of the pH sensor and the pressure data of the pressure sensor, and processes the pH data and the pressure data through a fuzzy algorithm to obtain the final stirring rate.

9. The automatic regulating system for mixed fermentation of aquaculture nutrients according to claim 8, characterized in that: The pH data and the pressure data are processed by a fuzzy algorithm to obtain the final stirring rate, including: defining fuzzy variables, wherein the fuzzy variables include the pH data, the pressure data, and a final stirring rate, wherein the pH data and the pressure data are used as input variables, and the final stirring rate is used as an output variable; Performing fuzzy processing on the input variables and output variables, and converting the pH data and pressure data into fuzzy sets; Establishing a fuzzy rule base, and establishing the relationship rules between the pH data, the pressure data and the final stirring rate based on empirical knowledge and experimental data; Using a fuzzy reasoning mechanism, fuzzy reasoning is performed according to the fuzzy set of the input variables and the fuzzy rule base to obtain the fuzzy set of the final stirring rate; The fuzzy set of the final stirring rate is defuzzified and then converted into an exact value, and the exact value is used as the final stirring rate.

10. A method for automatically adjusting and controlling the mixed fermentation of aquaculture nutrients, applied to the automatic adjustment system for mixed fermentation of aquaculture nutrients as claimed in any one of claims 1 to 9, characterized in that: include: Collecting fermentation type data, and determining whether stirring is required during the fermentation of the fermentation liquid according to the fermentation type data; The collection unit is further configured to determine an initial stirring rate when it is determined that the fermentation liquid needs to be stirred during the fermentation process; After every same time period, the temperature data of all the temperature sensors are collected, all the temperature data are compared with the temperature threshold respectively, and whether there is an uneven mixing area is determined according to the comparison result; when it is determined that the uneven mixing area exists, the temperature image data generated by the thermal imaging device is collected, and whether the initial stirring rate needs to be adjusted is determined according to the temperature image data; When it is determined that the initial stirring rate is to be adjusted, the viscosity data of the viscosity sensor is collected, the stirring control factor is determined according to the temperature image data and the viscosity data, the stirring control factor is compared with the historical data, and the final stirring rate is determined according to the comparison result; when the stirring control factor is different from the historical data, the adjustment unit collects the pH data of the pH sensor and the pressure data of the pressure sensor, and processes the pH data and the pressure data through a fuzzy algorithm to obtain the final stirring rate; The stirring control factor and the final stirring rate are stored.

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